• 01/30/2023

    Development of an AI/ML Tech Based Pulmonary Nodule Malignancy Prediction Model: Application to Indeterminate Pulmonary Nodules (IPN)* and Early Stage Cancers.


    Charles Voyton [1], Pierre Baudot [1], Van Khoa Le [1], Danny Francis [1], Elias Munoz [1], Yan Liu [1], Benoit Huet [1] – Affiliations: [1] Median Technologies, 1800 Route des Crêtes, 06560 Valbonne, France.
    Téléchargement iBiopsy_RSNA_2022_presentation_Voyton_Final.pdf
  • 01/30/2023

    Enabling Lung Cancer Screening with iBiopsy® AI based Software as Medical Device

    Présenté le 27 novembre 2022 à RSNA 2022 AI Theater


    Yan Liu [1], Benoit Huet [1] – Affiliations: [1] Median Technologies, 1800 Route des Crêtes, 06560 Valbonne, France
    Téléchargement iBiopsy-ppt@RSNA2022_AI_Theater_FINAL.pdf
  • 01/30/2023

    Discordance rates on primary tumor assessment between Blinded Independent Central Review (BICR) readers in advanced or metastatic esophageal cancer applying RECIST 1.1 criteria

    Présenté à RSNA Annual Meeting, Nov. 27 – Dec. 1, 2022, Chicago, IL, USA.


    Y. Liu [1], A. Iannessi [1], L. Balcells [1], Y. WANG [2], J. Ching [2], C. Ojango [1] – Affiliations: [1] Median Technologies, 1800 Route des Crêtes, 06560 Valbonne, France. [2] Median Technologies, Shanghai, China.
    Téléchargement Discordance-rates-on-primary-tumor-assessment-between-BICR-readers-in-advanced-or-metastatic-esophageal-cancer-applying-RECIST-1.1-criteria.pdf
  • 01/30/2023

    3D-Morphomics, Morphological Features on CT scans for lung nodule malignancy diagnosis

    Présenté à MICCAI conference, 18-22 septembre 2022, Singapour, Singapour.


    Elias MUNOZ [1,2], Pierre BAUDOT [1], Van-Khoa LE [1], Charles VOYTON [1], Benjamin RENOUST [1], Danny FRANCIS [1], Vladimir GROZA [1], Jean-Christophe BRISSET [1], Ezequiel GEREMIA [1], Antoine IANNESSI [1], Yan LIU [1], Benoit HUET [1] Afiliations: [1] Median Technologies, iBiopsy, Valbonne, France, [2] Laboratoire de Mathématiques de Lens – Université d’Artois, France.
    Téléchargement 20220912_MICCAI_3D-Morphomics-Morphological-Features-on-CT-scans-2.pdf
  • 09/12/2022

    Artificial Intelligence Supporting Lung Cancer Screening: Computer Aided Diagnosis Of Lung Lesions Driven By Morphological Feature Extraction

    Poster presented at the ESMO congress in Paris, France – September 9-13, 2022
    Francesco Grossi [1], Van-Khoa Le [2], Pierre Baudot [2], Charles Voyton [2], Danny francis [2], Elias Munoz [2], Benoît Huet [2] – Affiliations: [1] Division of Medical Oncology, University of Insubria, Varese, Italy, [2] Median Technologies, Valbonne, France.
    Téléchargement 20220901_ESMO22-poster_AI-supporting-LCS_Computer-Aided-Diagnosis-of-Lung-Lesions.pdf